Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

An Intelligent Algorithm of Bi-level Programming Model for Three-Stage Supply Chain

Authors
Wang Rui, Zhao Shuang, Rao Renqiao
Corresponding Author
Wang Rui
Available Online June 2015.
DOI
10.2991/kam-15.2015.13How to use a DOI?
Keywords
supply chain; programming; hybrid intelligent algorithm.
Abstract

In this paper, we established the optimal strategy model and compiled the hybrid intelligent algorithm to solve this model, using the fuzzy random simulation and enumeration method to find out manufacturer’s optimal order quantity, optimal production and optimal R&D investment; supplier’s optimal production, optimal participation rates as well as the corresponding profits; retailer’s optimal order quantity and the corresponding profit. We get conclusions that when manufacturer and supplier collaboratively research and develop as well as give quantity discounts for retailer, the production volume of supplier and manufacturer has basically reached the upper limit.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-87-5
ISSN
1951-6851
DOI
10.2991/kam-15.2015.13How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wang Rui
AU  - Zhao Shuang
AU  - Rao Renqiao
PY  - 2015/06
DA  - 2015/06
TI  - An Intelligent Algorithm of Bi-level Programming Model for Three-Stage Supply Chain
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 47
EP  - 50
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.13
DO  - 10.2991/kam-15.2015.13
ID  - Rui2015/06
ER  -